CDC Mechanisms Explained | SQL Server vs MySQL vs Oracle vs PostgreSQL (Lakehouse Ingestion)

🚀 Full Databricks Lakeflow Masterclass (40+ Episodes)

https://www.youtube.com/playlist?list=PLsL9JQ2lLNZJpd9i7Zmw5BZ2F1c78aypB

📚 Start the course here:

1️⃣ Lakeflow Architecture
https://youtu.be/a7DKqZvtDPs

2️⃣ Lakeflow Connect
https://youtu.be/O4OGKXgzTh4

In this video we compare Change Data Capture (CDC) mechanisms across major enterprise databases including SQL Server, MySQL, Oracle, and PostgreSQL.

Using an interactive visualization, we explore how each database captures incremental changes and how those changes can be used to build modern data ingestion pipelines for Lakehouse architectures.

CDC is a critical component of modern data engineering pipelines because it allows systems to replicate only the changes instead of performing full data loads.

In this tutorial we explain:

• SQL Server Change Tracking and CDC
• MySQL Binary Log (binlog) replication
• Oracle Archive Logs and LogMiner
• PostgreSQL Logical Replication

We also compare the setup requirements, performance impact, and complexity of each CDC approach.

Topics covered in the video:

SQL Server CDC
MySQL binlog CDC
Oracle LogMiner CDC
PostgreSQL logical replication
Incremental data pipelines
Lakehouse ingestion architecture

This video is part of the Lakeflow Connect Masterclass where we explore how modern ingestion pipelines work in Databricks Lakehouse environments.

Subscribe to DataMindAI with Ahmed for tutorials on:

Databricks • Data Engineering • Lakehouse Architecture • CDC Pipelines • Delta Lake

▶ Previous Episode
Databricks Lakeflow Connect Architecture Explained | End-to-End Lakehouse Ingestion Pipeline
https://youtu.be/CTtfRGX91Yw

▶ Next Episode
Databricks Lakeflow Connect Connector Comparison | SQL Server vs MySQL vs SharePoint vs Oracle
https://youtu.be/AfwFuxjLQeA

Видео CDC Mechanisms Explained | SQL Server vs MySQL vs Oracle vs PostgreSQL (Lakehouse Ingestion) канала DataMindAI with Ahmed